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PostHog Observability Suite

posthog-observability

jeremylongshore/claude-code-plugins-plus-skills

Guides teams through setting up PostHog observability with ingestion health checks, flag latency tracking, billing-aware volume monitoring, alerts for anomalies, and dashboards for key metrics and API performance.

Python Performance Optimization Guide

python-performance-optimization

sickn33/antigravity-awesome-skills

This comprehensive guide provides methods for profiling, analyzing, and optimizing Python code. It covers advanced techniques such as CPU profiling, memory leak mitigation, improving I/O operations, and optimizing database queries. Use this skill when diagnosing slow-running applications, reducing system latency, or implementing high-performance, resource-efficient algorithms in a production environment.

Replit Observability Toolkit

replit-observability

jeremylongshore/claude-code-plugins-plus-skills

Enables comprehensive observability for Replit integrations by collecting deployment metrics, latency traces, health checks, and alerts, plus dashboards for uptime, resource usage, AI feature adoption, and cost control.

Retell AI Observability

retellai-observability

jeremylongshore/claude-code-plugins-plus-skills

Provides observability coverage for Retell AI voice agents, streaming webhook metrics, latency stats, per-agent KPIs, and alert rules so teams can monitor performance, cost, and call quality.

Retell AI Reliability Patterns

retellai-reliability-patterns

jeremylongshore/claude-code-plugins-plus-skills

Guides building resilient Retell AI voice deployments with circuit breakers, latency budgets, call-state persistence, and concurrency controls so webhook/WebSocket integrations stay responsive under load and recover gracefully from failures.

Chaos Resilience Toolkit

running-chaos-tests

jeremylongshore/claude-code-plugins-plus-skills

Run controlled chaos experiments to validate resilience, fault tolerance, and recovery of distributed services by injecting latency, outages, and resource exhaustion while monitoring metrics and rollback safeguards.

Service Mesh Observability

service-mesh-observability

sickn33/antigravity-awesome-skills

Provides a thorough guide to observability patterns for Istio, Linkerd, and service mesh deployments, covering metrics, tracing, logging, dashboards, and troubleshooting workflows so engineers can set up monitoring, define SLOs, and investigate latency or error issues.

High Throughput LLM Serving

serving-llms-vllm

Orchestra-Research/AI-Research-SKILLs

Serve production-grade LLM APIs with vLLM, leveraging PagedAttention, continuous batching, quantization, and tensor parallelism to maximize throughput while keeping latency, GPU usage, and scalability under control for OpenAI-compatible deployments.

Service Reliability Framework

slo-implementation

sickn33/antigravity-awesome-skills

Defines and enforces SLIs, SLOs, and error budgets with Prometheus rules and alerts so teams can balance reliability targets with development velocity across availability, latency, and durability metrics.

Speak Performance Tuning

speak-performance-tuning

jeremylongshore/claude-code-plugins-plus-skills

Guides optimizing Speak API latency by combining caching, audio preprocessing, batching, and connection pooling to keep language-learning requests fast and reliable under load.

Supabase Performance Tuning

supabase-performance-tuning

jeremylongshore/claude-code-plugins-plus-skills

Tune Supabase API performance by measuring latency, adding caching and batching, and configuring connection pools so integrations stay responsive even under high throughput.

TwinMind Observability Suite

twinmind-observability

jeremylongshore/claude-code-plugins-plus-skills

Provides end-to-end monitoring for TwinMind integrations with Prometheus metrics, OpenTelemetry tracing, structured Pino logs, AlertManager rules, and Grafana dashboards for uptime, latency, and rate limit insights.

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